Data Scientist (Team Lead)

Docsity; Torino; Ibrido; EUR 35.000 - 50.000; Tempo pieno

Descrizione del lavoro

A leading educational community in Italy is seeking a Data Analyst to collaborate on innovative AI solutions. The ideal candidate will analyze complex data sets, ensuring data quality and integrity, while developing insightful dashboards. A Bachelor's degree in a quantitative field and proficiency in Python and BI tools are required. This hybrid position offers the opportunity to work on impactful data projects within a cross-functional team.

Servizi

Opportunity to work on impactful Data/AI projects

Training and growth opportunities

Access to large data sets

Collaborative work environment

Hybrid work structure

Competenze

• Bachelor's degree or equivalent experience in Statistics, Mathematics, Computer Science, or Engineering.
• Fluency in Python, SQL and database optimization techniques.
• Proficiency in BI tools like Tableau or Looker is preferred.

Mansioni

• Analyze raw data for quality and structure.
• Develop architectures to streamline data science processes.
• Promote data-driven decision-making through reports.

Conoscenze

Analytical skills

Attention to detail

Collaboration skills

Fluency in Python

DB technology (SQL)

BI tools (Tableau, etc.)

Understanding of SDLC

Proficiency in Italian

Formazione

Bachelor's degree in a quantitative field

Strumenti

Looker

Tableau

AWS QuickSight

Descrizione del lavoro

Docsity is an educational community where millions of university students share and find study content to improve their exam preparation. Our mission is to help students to be more effective in their preparation, and connect them with meaningful learning opportunities.

We are managing this recruitment process in collaboration with one of our strategic partner companies, who are looking for talented individuals to join their team.

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

About the role

You will collaborate closely with interdisciplinary teams to design and implement advanced AI solutions that drive decision-making and innovation.

Your daily activities will include:

• Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
• Develop architectures to streamline data science processes
• Support initiatives for data integrity and normalization
• Promote data-based decision-making across the company through reports and presentations
• Develop insightful dashboards to track performances

Requirements

• Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• Great analytical skills and attention to detail, insights-driven attitude
• Fluency in Python, Pandas, and database technology (SQL, schema design and query optimization techniques)
• Expertise in using BI tools (e.g. Looker, Looker Data Studio, Tableau, AWS QuickSight)
• Understanding of full software development life cycle and agile development
• Proficiency in Italian (B2+)

Nice to have

• Experience in Large Language Models APIs or quantitative analytics or data modeling is a plus
• Expertise in using BI tools (e.g. Looker, Looker Data Studio, Tableau, AWS QuickSight)
• Experience on Ecommerce and digital marketing metrics
• Expertise in using scalable analytics techniques (e.g., PySpark, Dask, Modin, Koalas) and MPP databases (e.g., BigQuery, Redshift, Snowflake) for complex data assembly and transformation

What’s in it for you?

• Work with tons of data, to which you will have full access
• Work closely with all functions within the organization
• You’ll have the unique chance to work on high-impact Data / AI projects within a large-scale organization where your contributions will drive tangible change
• Work in a highly-skilled, organized and cross-functional Data Team
• Opportunity to grow personally and professionally through training and peer interaction
• Hybrid work structure: 4 days in the office and 1 day of smart working per week.